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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 13
- Shai Avidan, Gabriel J. Brostow
, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XIII. Lecture Notes in Computer Science 13673, Springer 2022, ISBN 978-3-031-19777-2 - Chenyi Kuang, Zijun Cui, Jeffrey O. Kephart, Qiang Ji:
AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape Learning. 1-18 - Kai Zhao, Lei Shen, Yingyi Zhang, Chuhan Zhou, Tao Wang, Ruixin Zhang, Shouhong Ding, Wei Jia, Wei Shen:
BézierPalm: A Free Lunch for Palmprint Recognition. 19-36 - Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao, Jinwei Yuan, Hartwig Adam, Ming-Hsuan Yang:
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing. 37-54 - Kewei Yang, Kang Chen, Daoliang Guo, Song-Hai Zhang, Yuan-Chen Guo, Weidong Zhang:
Face2Faceρ: Real-Time High-Resolution One-Shot Face Reenactment. 55-71 - Haiwen Feng, Timo Bolkart, Joachim Tesch, Michael J. Black, Victoria Fernández Abrevaya:
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation. 72-90 - Shijie Wu, Xun Gong:
BoundaryFace: A Mining Framework with Noise Label Self-correction for Face Recognition. 91-106 - Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sánchez-Lozano, Georgios Tzimiropoulos:
Pre-training Strategies and Datasets for Facial Representation Learning. 107-125 - Isaac Kasahara, Simon Stent, Hyun Soo Park:
Look Both Ways: Self-supervising Driver Gaze Estimation and Road Scene Saliency. 126-142 - Sanghyeon Na:
MFIM: Megapixel Facial Identity Manipulation. 143-159 - Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljevic, Daniel Wilde, Stephan J. Garbin, Toby Sharp, Ivan Stojiljkovic, Tom Cashman, Julien P. C. Valentin:
3D Face Reconstruction with Dense Landmarks. 160-177 - Dae Ha Kim, Byung Cheol Song:
Emotion-aware Multi-view Contrastive Learning for Facial Emotion Recognition. 178-195 - Seon-Ho Lee, Chang-Su Kim:
Order Learning Using Partially Ordered Data via Chainization. 196-211 - Ron Slossberg, Ibrahim Jubran, Ron Kimmel:
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction. 212-229 - Xiao Guo, Yaojie Liu, Anil K. Jain, Xiaoming Liu:
Multi-domain Learning for Updating Face Anti-spoofing Models. 230-249 - Wojciech Zielonka, Timo Bolkart, Justus Thies:
Towards Metrical Reconstruction of Human Faces. 250-269 - Zhiheng Li, Anthony Hoogs, Chenliang Xu:
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks. 270-288 - Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona:
Unsupervised and Semi-supervised Bias Benchmarking in Face Recognition. 289-306 - Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu:
Towards Efficient Adversarial Training on Vision Transformers. 307-325 - Pradyumna Chari, Yunhao Ba, Shreeram S. Athreya, Achuta Kadambi:
MIME: Minority Inclusion for Majority Group Enhancement of AI Performance. 326-343 - Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory:
Studying Bias in GANs Through the Lens of Race. 344-360 - Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi:
Trust, but Verify: Using Self-supervised Probing to Improve Trustworthiness. 361-377 - Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar:
Learning to Censor by Noisy Sampling. 378-395 - Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
An Invisible Black-Box Backdoor Attack Through Frequency Domain. 396-413 - Xiaofeng Lin, Seungbae Kim, Jungseock Joo:
FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification. 414-432 - Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim:
Attaining Class-Level Forgetting in Pretrained Model Using Few Samples. 433-448 - Zihang Zou, Boqing Gong, Liqiang Wang:
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks. 449-465 - Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania:
An Impartial Take to the CNN vs Transformer Robustness Contest. 466-480 - Yanfu Zhang, Shangqian Gao, Heng Huang:
Recover Fair Deep Classification Models via Altering Pre-trained Structure. 481-498 - Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar:
Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. 499-517 - Sudhakar Kumawat, Hajime Nagahara:
Privacy-Preserving Action Recognition via Motion Difference Quantization. 518-534 - Momchil Peychev, Anian Ruoss, Mislav Balunovic, Maximilian Baader, Martin T. Vechev:
Latent Space Smoothing for Individually Fair Representations. 535-554 - Christian Tomani, Daniel Cremers, Florian Buettner:
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration. 555-569 - Cemre Karakas, Alara Dirik, Eylul Yalcinkaya, Pinar Yanardag:
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations. 570-586 - Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Distilling the Undistillable: Learning from a Nasty Teacher. 587-603 - Victor Escorcia, Ricardo Guerrero, Xiatian Zhu, Brais Martínez:
SOS! Self-supervised Learning over Sets of Handled Objects in Egocentric Action Recognition. 604-620 - Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li:
Egocentric Activity Recognition and Localization on a 3D Map. 621-638 - Wenqi Jia, Miao Liu, James M. Rehg:
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video. 639-656 - Siddhant Bansal, Chetan Arora, C. V. Jawahar:
My View is the Best View: Procedure Learning from Egocentric Videos. 657-675 - Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas:
GIMO: Gaze-Informed Human Motion Prediction in Context. 676-694 - Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf:
Image-Based CLIP-Guided Essence Transfer. 695-711 - Rui Shao, Tianxing Wu, Ziwei Liu:
Detecting and Recovering Sequential DeepFake Manipulation. 712-728 - Jhih-Ciang Wu, He-Yen Hsieh, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu:
Self-supervised Sparse Representation for Video Anomaly Detection. 729-745
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